Data Scientist

• Support the design and analysis of experiments including lift studies, A/B tests, and causal inference methods.
• Assist with model evaluation, performance monitoring, and diagnosing model drift.
• Contribute to audience modeling, segmentation, and scoring projects under senior DS guidance.
• Gain exposure to how data science products are deployed and measured in client environments.
• Learn to build and adapt configurations for existing modeling products (e.g., audience scoring, bid modifiers).
• Assist with data pipeline tasks, sampling logic, and feature transformations.
• Shadow engineers and product managers to understand how prototypes become production tools.
• Document edge cases, performance issues, and potential feature improvements encountered during projects.
• Participate in team discussions around model interpretability, automation, and monitoring.
• Contribute to research and experimentation cycles with support from senior team members.

Data Science Intern

Data Scientist

Senior Clinical Data Scientist, CDM

Pricing Data Scientist

Lead Data Scientist, Cat Foresight

Senior Data Scientist